- Columns: 32
- Rows: 3111
- Features: numerical, categorical
- Time period: 2000-2016
- Focus: Identification of impact of immunization and sociodemographic factors on population health using life expectancy
- Source: https://www.kaggle.com/mmattson/who-national-life-expectancy
Interesting data set upon first glance with adequate entries and columns. Possibility of modelling and visualization.
Using python and data analytics libraries like pandas:
- Study influence of alcohol on life expectancy.
- Study domestic general government health expenditure (GGHE-D) as percentage of gross domestic product (GDP) and its influence on life expectancy.
- Establish whether vaccine mandates are effective in improving life expectancy and the difference in effect between the developing and developed world.
- Use data from years 2000-2014 to generate predictive models on factors contributing to improved live expectancy. Test their applicability and accuracy for the years 2015-2016.
Using Tableau:
- Create visualizations that explore health treands over time and compare factors contributing to improved life expectancy
- Create visualizations that compare factors and indicators in developing and developed economies